Zobrazeno 1 - 10
of 168
pro vyhledávání: '"Valmir C, Barbosa"'
Autor:
Eduardo J Aguilar, Valmir C Barbosa
Publikováno v:
PLoS ONE, Vol 18, Iss 5, p e0286312 (2023)
In cluster analysis, a common first step is to scale the data aiming to better partition them into clusters. Even though many different techniques have throughout many years been introduced to this end, it is probably fair to say that the workhorse i
Externí odkaz:
https://doaj.org/article/140d489a278d46e19ae3894a0953ce11
Publikováno v:
IEEE Access, Vol 9, Pp 149552-149559 (2021)
We consider heterogeneous wireless networks in the physical interference model and introduce a new formulation of the mixed-integer nonlinear programming (MINLP) problem that addresses base-station activation and many-to-many associations while minim
Externí odkaz:
https://doaj.org/article/ff56b1d8d5ba4d6686beae3347b82ae4
Autor:
Giselle Villa Flor Brunoro, Paulo Costa Carvalho, Valmir C. Barbosa, Dante Pagnoncelli, Claudia Vitória De Moura Gallo, Jonas Perales, René Peiman Zahedi, Richard Hemmi Valente, Ana Gisele da Costa Neves-Ferreira
Publikováno v:
BMC Cancer, Vol 19, Iss 1, Pp 1-12 (2019)
Abstract Background Worldwide, breast cancer is the main cause of cancer mortality in women. Most cases originate in mammary ductal cells that produce the nipple aspirate fluid (NAF). In cancer patients, this secretome contains proteins associated wi
Externí odkaz:
https://doaj.org/article/9c79487450214d43929c6291f103493a
Autor:
Milan A. Clasen, Marlon D. M. Santos, Louise Ulrich Kurt, Juliana Fischer, Amanda C. Camillo-Andrade, Lucas Albuquerque Sales, Tatiana de Arruda Campos Brasil de Souza, Diogo Borges Lima, Fabio C. Gozzo, Richard Hemmi Valente, Rosario Duran, Valmir C. Barbosa, Paulo C. Carvalho
Publikováno v:
Journal of the American Society for Mass Spectrometry. 34:794-796
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::01df9369662b5521a720fcd884aada76
https://doi.org/10.1021/jasms.3c00063
https://doi.org/10.1021/jasms.3c00063
Autor:
Marlon D. M. Santos, Diogo B. Lima, Juliana S. G. Fischer, Milan A. Clasen, Louise U. Kurt, Amanda Caroline Camillo-Andrade, Leandro C. Monteiro, Priscila F. de Aquino, Ana G. C. Neves-Ferreira, Richard H. Valente, Monique R. O. Trugilho, Giselle V. F. Brunoro, Tatiana A. C. B. Souza, Renata M. Santos, Michel Batista, Fabio C. Gozzo, Rosario Durán, John R. Yates, Valmir C. Barbosa, Paulo C. Carvalho
Publikováno v:
Nature Protocols. 17:1553-1578
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3a596019f3d6c5fd4d912f5a6cd1bf2f
https://doi.org/10.1038/s41596-022-00690-x
https://doi.org/10.1038/s41596-022-00690-x
Autor:
Valmir C. Barbosa
Publikováno v:
Complexity, Vol 2017 (2017)
We consider distributed units that interact by message-passing. Each message carries a tag and causes the receiving unit to send out messages as a function of the tags it has received and a threshold. This simple model abstracts some of the essential
Externí odkaz:
https://doaj.org/article/47f34a0b7f4a43ea88bff120cd4b72a3
Autor:
Marlon D.M. Santos, Amanda C. Camillo-Andrade, Diogo B. Lima, Tatiana A.C.B. Souza, Juliana de S. da G. Fischer, Richard H. Valente, Fabio C. Gozzo, Valmir C. Barbosa, Carlos Batthyany, Julia Chamot-Rooke, Rosario Duran, Paulo C. Carvalho
Publikováno v:
Journal of Proteomics. 277:104853
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6fc67b14dad28d9429e30ae068941718
https://doi.org/10.1016/j.jprot.2023.104853
https://doi.org/10.1016/j.jprot.2023.104853
We build a four-dimensional linear model of object membership in the Beta Pictoris moving group (BPMG), using two nested applications of Principal Component Analysis (PCA) to high-quality data on about 1.5 million objects. These data contain the obje
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::095b9c109da9d12fb820ee71799654db
Autor:
Milan A Clasen, Louise U Kurt, Marlon D M Santos, Diogo B Lima, Fan Liu, Fabio C Gozzo, Valmir C Barbosa, Paulo C Carvalho
Publikováno v:
Bioinformatics. 38:5119-5120
Motivation Confident deconvolution of proteomic spectra is critical for several applications such as de novo sequencing, cross-linking mass spectrometry and handling chimeric mass spectra. Results In general, all deconvolution algorithms may eventual
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f3bb9841f753c14f416af08b83e27903
https://doi.org/10.1093/bioinformatics/btac638
https://doi.org/10.1093/bioinformatics/btac638
Autor:
Diogo B. Lima, Richard H. Valente, Julia Chamot-Rooke, Mathieu Dupré, Louise U. Kurt, André R.F. Silva, Carolina Alves Nicolau, Marlon D.M. Santos, Paulo C. Carvalho, Valmir C. Barbosa
Publikováno v:
Journal of Proteomics
Journal of Proteomics, 2021, 245, pp.104282. ⟨10.1016/j.jprot.2021.104282⟩
Journal of Proteomics, Elsevier, 2021, 245, pp.104282. ⟨10.1016/j.jprot.2021.104282⟩
Journal of Proteomics, 2021, 245, pp.104282. ⟨10.1016/j.jprot.2021.104282⟩
Journal of Proteomics, Elsevier, 2021, 245, pp.104282. ⟨10.1016/j.jprot.2021.104282⟩
International audience; In proteomics, the identification of peptides from mass spectral data can be mathematically described as the partitioning of mass spectra into clusters (i.e., groups of spectra derived from the same peptide). The way partition
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9ea2780cbea8e0fd751372f7f826237a
https://hal-pasteur.archives-ouvertes.fr/pasteur-03441752
https://hal-pasteur.archives-ouvertes.fr/pasteur-03441752